Research Article

OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING

Volume: 11 Number: 3 September 1, 2023
EN

OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING

Abstract

Transcutaneous electrical nerve stimulation is used to elevate health-related disorders. This technology is now an important therapeutic system for medical science. In this system, the electrical current pulse is applied over the skin through the inner layers via electrodes to activate excitable tissue layers. Activating other excitable tissue layers may cause discomfort. Thus, it is vital to design electrode configuration arrangements to activate the target anatomical layers without affecting the neighboring ones. A device for primary headaches showed mixed results. This may be related to the electrode position that requires higher stimulus current levels to activate target nerve fibers. This may stimulate neighboring nerve fibers which resulted in the discomfort of patients. A feasible solution is to identify the optimal electrode configuration based on the activation function which is the second derivative of the electric potential along an axon. This may guide to estimate of the possibility of action potential generation on the neural tissue layer using a specified electrode arrangement. In this study, the multilayered human head was developed based on MRI data set using pre and post-processing. Then multi-electrode arrangements were developed to examine the possible nerve activation location. Results showed that the nerve fibers were activated at the same location of the trajectory for the anodal and cathodal stimulation. This may be proof that the activation function can be used to define the optimal location of nerve activation. This may lead to lower thresholds for similar therapeutic benefits in transcutaneous electrical nerve stimulation with decreased power consumption.

Keywords

References

  1. N. Ravichandran, M. Y. Teo, K. Aw, and A. McDaid, “Design of Transcutaneous Stimulation Electrodes for Wearable Neuroprostheses,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 7, pp. 1651–1660, Jul. 2020, doi: 10.1109/TNSRE.2020.2994900.
  2. B. A. Karamian et al., “The role of electrical stimulation for rehabilitation and regeneration after spinal cord injury,” Journal of Orthopaedics and Traumatology, vol. 23, no. 1. Springer Science and Business Media Deutschland GmbH, Dec. 01, 2022. doi: 10.1186/s10195-021-00623-6.
  3. A. Gupta, N. Vardalakis, and F. B. Wagner, “Neuroprosthetics: from sensorimotor to cognitive disorders,” Communications biology, vol. 6, no. 1. NLM (Medline), p. 14, Dec. 01, 2023. doi: 10.1038/s42003-022-04390-w.
  4. E. Salkim, A. Shiraz, and A. Demosthenous, “Impact of neuroanatomical variations and electrode orientation on stimulus current in a device for migraine: A computational study,” J Neural Eng, vol. 17, no. 1, 2020, doi: 10.1088/1741-2552/ab3d94.
  5. E. Salkim, A. Shiraz, and A. Demosthenous, “Influence of cellular structures of skin on fiber activation thresholds and computation cost In fl uence of cellular structures of skin on fi ber activation thresholds and computation cost,” Biomed Phys Eng Express, vol. 5, no. 1, p. 015015, 2018.
  6. S. Joucla, A. Glière, and B. Yvert, “Current approaches to model extracellular electrical neural microstimulation,” Front Comput Neurosci, vol. 8, no. February, pp. 1–12, 2014, doi: 10.3389/fncom.2014.00013.
  7. S. F. Cogan, “Neural Stimulation and Recording Electrodes,” Annu Rev Biomed Eng, vol. 10, no. 1, pp. 275–309, 2008, doi: 10.1146/annurev.bioeng.10.061807.160518.
  8. A. Kuhn, T. Keller, M. Lawrence, and M. Morari, “The influence of electrode size on selectivity and comfort in transcutaneous electrical stimulation of the forearm,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 18, no. 3, pp. 255–262, Jun. 2010, doi: 10.1109/TNSRE.2009.2039807.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

September 1, 2023

Submission Date

January 20, 2023

Acceptance Date

July 5, 2023

Published in Issue

Year 2023 Volume: 11 Number: 3

APA
Salkım, E. (2023). OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING. Konya Journal of Engineering Sciences, 11(3), 801-811. https://doi.org/10.36306/konjes.1240153
AMA
1.Salkım E. OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING. KONJES. 2023;11(3):801-811. doi:10.36306/konjes.1240153
Chicago
Salkım, Enver. 2023. “OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING”. Konya Journal of Engineering Sciences 11 (3): 801-11. https://doi.org/10.36306/konjes.1240153.
EndNote
Salkım E (September 1, 2023) OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING. Konya Journal of Engineering Sciences 11 3 801–811.
IEEE
[1]E. Salkım, “OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING”, KONJES, vol. 11, no. 3, pp. 801–811, Sept. 2023, doi: 10.36306/konjes.1240153.
ISNAD
Salkım, Enver. “OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING”. Konya Journal of Engineering Sciences 11/3 (September 1, 2023): 801-811. https://doi.org/10.36306/konjes.1240153.
JAMA
1.Salkım E. OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING. KONJES. 2023;11:801–811.
MLA
Salkım, Enver. “OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING”. Konya Journal of Engineering Sciences, vol. 11, no. 3, Sept. 2023, pp. 801-1, doi:10.36306/konjes.1240153.
Vancouver
1.Enver Salkım. OPTIMAL LOCATION OF ACTION POTENTIAL GENERATION BASED ON ACTIVATION FUNCTION USING COMPUTATIONAL MODELLING. KONJES. 2023 Sep. 1;11(3):801-1. doi:10.36306/konjes.1240153